const OpenAI = require('openai');
const DEFAULT_MODEL = process.env.OPENAI_MODEL || 'gpt-5-2025-08-07';
async function callOpenAI({ systemPrompt, userPrompt, model = DEFAULT_MODEL, temperature = 0, maxTokens }) {
const apiKey = process.env.OPENAI_API_KEY;
if (!apiKey) throw new Error('OPENAI_API_KEY environment variable is required');
const client = new OpenAI({ apiKey });
// Prefer the Responses API if available; otherwise fall back to chat.completions
if (client.responses && client.responses.create) {
const payload = {
model,
max_output_tokens: maxTokens || Number(process.env.OPENAI_MAX_TOKENS || 20000),
input: [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: userPrompt }
]
};
// Some models (e.g., GPT-5) may not support temperature; include only if explicitly set
const t = process.env.OPENAI_TEMPERATURE;
if (t !== undefined) payload.temperature = Number(t);
const resp = await client.responses.create(payload);
const text = extractText(resp);
return text;
}
const payload = {
model,
max_tokens: maxTokens || Number(process.env.OPENAI_MAX_TOKENS || 20000),
messages: [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: userPrompt }
]
};
const t2 = process.env.OPENAI_TEMPERATURE;
if (t2 !== undefined) payload.temperature = Number(t2);
const resp = await client.chat.completions.create(payload);
const text = resp && resp.choices && resp.choices[0] && resp.choices[0].message && resp.choices[0].message.content;
return Array.isArray(text) ? text.map(t => t.text || t).join('\n') : text;
}
function extractText(resp) {
if (!resp) return '';
if (resp.output_text) return resp.output_text;
if (Array.isArray(resp.output)) {
return resp.output.map(part => (part.type === 'output_text' && part.text) ? part.text : '').join('\n');
}
return JSON.stringify(resp);
}
module.exports = { callOpenAI };
